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* Title: ELECTORAL MESSIAH OR PARTY LABEL? QUANTIFYING AND INVESTIGATING
*        LEADER-PARTY RELATIONSHIPS IN GERMAN FEDERAL ELECTIONS 1998-2021
* Authors: Klara Dentler, Katharina Blinzler, & Stephen Quinlan
* Journal of Publication: ELECTORAL STUDIES
* Year of Publication (Online): 2023
*
* README FILE
* Last updated: Tuesday, October 31, 2023.  
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*/// TABLE OF CONTENTS READ ME FILE
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*/// 1: NAVIGATION OF READ ME FILE
*/// 2: PURPOSE OF READ ME FILE
*/// 3: DATAVERSE DEPOSIT OVERVIEW
*/// 4: DESCRIPTION OF DATA AND DEPOSITED SYNTAX FILES
*/// 5: NOTE REGARDING USE OF SYNTAX FILE
*/// 6: CONTACT THE AUTHORS


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*/// 1: NAVIGATION OF READ ME FILE
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* /// = SECTION HEADER 
* >>> = SUB-SECTION HEADER


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*/// 2: PURPOSE OF READ ME FILE
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This file details information regarding the deposits of "ELECTORAL MESSIAH 
OR PARTY LABEL? QUANTIFYING AND INVESTIGATING LEADER-PARTY RELATIONSHIPS IN 
GERMAN FEDERAL ELECTIONS 1998-2021" paper by Dentler, Blinzler, & Quinlan, 
appearing in Electoral Studies (Online Publication Date: 2023). 


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*/// 3: DATAVERSE DEPOSIT OVERVIEW
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The Dataverse deposit (October 2023) includes six files: 
- Two STATA Datasets (.dta) based on the 2021 German Longitudinal Election
  Study (GLES) and German election studies included in the Comparative
  Study of Electoral Systems (CSES) project between 1998 and 2021 (excluding
  2002).  
- Three STATA Data Analysis Syntax files (.do) including replication syntax  
  for all analysis included in the paper and accompanying appendixes.  
- ReadMe File (.txt) providing overview of the deposit and further 
  instructions where applicable. 


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*/// 4: DESCRIPTION OF DATA AND DEPOSITED SYNTAX FILES
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*>>> STATA DATASET 1 (Name:1998_2021_timeseries)
This STATA data (wide format - observations=rows; variables=columns) include
data from election studies from Germany that have appeared in the CSES
1998-2021.


*>>> STATA DATASET 2 (Name:GLES_RCS2021)
This STATA data (wide format - observations=rows; variables=columns) include
data from the German Longitudinal Election Study (GLES) Rolling Cross-
Section Study 2021. 


*>>> DATA ANALYSIS SYNTAX FILE (Name: 20231031_Dentler et al_Syntax for 
TS Analysis - Main Paper.do). This file offers replication code for the 
analysis in the main text of the paper based on the Time Series Dataset 
(Name:1998_2021_timeseries). It is a STATA .do file and should be run on the 
STATA version of the dataset but can also be read into any text file 
program such as Notepad or Sublime Text. 


*>>> DATA ANALYSIS SYNTAX FILE (Name: 20231031_Dentler et al_Syntax for TS 
Analysis - Appendixes). This file offers replication code for the 
analysis in the appendixes based on the Time Series Dataset 
(Name:1998_2021_timeseries). It is a STATA .do file and should be run on the 
STATA version of the dataset but can also be read into any text file 
program such as Notepad or Sublime Text. 


*>>> DATA ANALYSIS SYNTAX FILE (Name: 20231031_Dentler et al_Syntax for RCS
Analysis - Main Paper & Appendixes). This file offers replication code for  
the analysis in the appendixes based on the Rolling Cross-Section Dataset 
(Name: GLES_RCS2021). It is a STATA .do file and should be run on the 
STATA version of the dataset but can also be read into any text file 
program such as Notepad or Sublime Text. 


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*/// 5: NOTE REGARDING USE OF SYNTAX FILE
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"ACHTUNG" = May require user to change the file path for file to be opened. 


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*/// 6: CONTACT THE AUTHORS 
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The authors can be contacted at: 
- KLARA DENTLER
  klara.dentler@gesis.org 

- KATHARINA BLINZLER
  katharina.blinzler@gesis.org

- STEPHEN QUINLAN 
  stephen.quinlan@gesis.org 




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